Foundations: From Expert to Influential Leader

Intro
The course supports the transition from relying primarily on technical expertise to exercising credible influence in complex, real-world decision environments.

Who this course is for
This course is well suited to:

• Scientists, technologists, engineers, mathematicians, and medical professionals
• Professionals influencing decisions without being the final decision-maker
• Those working across disciplines, evidence boundaries, or contested contexts
• People who want their expertise to land without becoming performative or political

Who this course is not for
This course is likely not a good fit if you are:

• Looking for technical upskilling or domain-specific training
• Seeking generic leadership motivation or personality-based models
• Already operating primarily at a systems or legacy leadership level

What you will develop
Participants develop:

• Credible influence beyond formal authority
• Clear judgment under uncertainty and constraint
• The ability to communicate complex ideas so they are trusted and acted upon
• Inner capacities (including emotional intelligence) developed holistically and applied to real professional challenges

How the course works

• Short, structured video lessons
• Practical reflection and application exercises
• Tools that can be used immediately in professional settings
• Optional peer reflection space
• Designed to be completed alongside full-time work

Outcomes
Participants typically report:

• Greater confidence in influencing decisions without over-asserting
• Improved clarity in complex conversations
• Increased credibility across STEMM and non-STEMM audiences
• Stronger alignment between values, expertise, and action

Course fee

• Standard: USD $297
• Reduced: USD $197

About reduced fees
The reduced fee supports accessibility across different income levels and global contexts. Participants are trusted to select the option that best reflects their current circumstances.

What comes next
Many participants choose to continue into:
Integration: Influence & Decision-Making in Complexity